摘要
提出一种基于多信号分解和重建以及目标参数估计和运动补偿的信号处理方案.首先,通过对多目标回波进行自适Ch irp let分解和最小二乘误差准则下的重建,将多机动目标的信号处理问题转化为单机动目标的信号处理问题;然后,采用DPT算法估计每个目标的高阶运动参数,进而补偿目标运动对信号处理的影响,从而提高多普勒输出信噪比和改善估值精度.仿真结果验证了算法的可行性和优越性.
To solve the problem of detection and estimation of maneuvering HF radar multi-targets with low SNR, a signal processing scheme including multiple signal decomposition and reconstruction, parameter estimation and movement compensation, is proposed. Firstly, by using adaptive Chirplet decomposition and minimum RMS errors signal reconstruction, multi -targets signal processing problems could be converted to a single target ones; Secondly, a DPT （Discrete Time Polynomial-phase Transform） is used to estimate the high- order movement parameters of the targets, namely, the acceleration and etc; Finally, better target parameter estimation precision and higher output SNR can be achieved by compensating the high-order target movement impact on signal processing. Simulation results verify the validity of proposed algorithm and the advantage compared with the traditional signal processing approach.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2007年第5期745-748,共4页
Journal of Harbin Institute of Technology
关键词
高频雷达
机动多目标
信号分解
参数估计
HF radar
maneuvering multi-target
signal decomposition
parameter estimation
